Triple

T22890186
Position Surface form Disambiguated ID Type / Status
Subject Carl Side E568017 entity
Predicate near P350 FINISHED
Object Long Side NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Long Side | Statement: [Carl Side, near, Long Side]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long Side
Context triple: [Carl Side, near, Long Side]
  • A. Long Side chosen
    Long Side is a subsidiary summit on the Skiddaw massif in England’s Lake District, popular with walkers for its views and as part of routes to the main peak.
  • B. Lunga perimeter
    The Lunga perimeter was a key Allied defensive position around Henderson Field on Guadalcanal during World War II, serving as the focal point of repeated Japanese attacks in the campaign.
  • C. Longo
    Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
  • D. Longside
    Longside is a small village in the Buchan area of Aberdeenshire in northeast Scotland.
  • E. The Long Leg
    The Long Leg is a 1935 painting by American realist artist Edward Hopper depicting a solitary sailboat off the New England coast, exemplifying his characteristic themes of isolation and quiet contemplation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc479d48190a8218eceaebd6cc8 completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.